{"id":"W2111997443","doi":"10.1109/apec.2010.5433626","title":"Analysis of a high performance voltage regulator with non-linear multi-mode control: Bandwidth and large transient response","year":2010,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Transient response; Digital control; Voltage regulator; Decoupling (probability); Bandwidth (computing); Transient (computer programming); Computer science; Voltage; Low-dropout regulator; Controller (irrigation); Voltage controller; Engineering; Electronic engineering; Dropout voltage; Control engineering; Electrical engineering; Voltage droop; Control (management); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003829906,0.0001689599,0.0003991273,0.0002427298,0.00005162277,0.00001130707,0.00009056072,0.00009499637,0.00008410852],"category_scores_gemma":[0.00001166635,0.0001160486,0.00007214065,0.000343155,0.00006183603,0.0001016997,0.000004795096,0.0001797507,0.000004070284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001120666,"about_ca_system_score_gemma":0.00002213076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006841731,"about_ca_topic_score_gemma":0.000389856,"domain_scores_codex":[0.9991519,0.00002256616,0.0002254967,0.0001930775,0.0001554018,0.0002515801],"domain_scores_gemma":[0.9994406,0.00008495461,0.00003395008,0.0002612212,0.00006322606,0.0001161074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002724977,0.0003116139,0.04804124,0.0002475465,0.003785896,0.000042738,0.002131021,0.1400255,0.7956807,0.002626737,0.0002339028,0.004148134],"study_design_scores_gemma":[0.002764686,0.0001733338,0.1969158,0.00001526725,0.0007056557,0.000005464087,0.00005351168,0.7862241,0.01235546,0.000005214103,0.0005340464,0.0002475266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5652987,0.00001971612,0.4344012,0.000003109095,0.00002430776,0.00008877562,0.00003656021,0.00005409081,0.00007344492],"genre_scores_gemma":[0.9989821,0.00001338439,0.0004718153,0.00003666043,0.00001759426,0.00001204509,0.000009983281,0.00002580297,0.0004306052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7833252,"threshold_uncertainty_score":0.4732325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004970667667209897,"score_gpt":0.2019509771937696,"score_spread":0.1969803095265596,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}